Researchers use statistical physics and "toy models" to explain how neural networks avoid overfitting and stabilize learning in high-dimensional spaces.

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In a recent article, researchers from the University of Jyväskylä, Finland, emphasize the importance of multiscale modeling of catalysis in understanding and developing (electro)chemical processes.

Artificial intelligence systems based on neural networks—such as ChatGPT, Claude, DeepSeek or Gemini—are extraordinarily ...

Morningstar researchers found that an 11-item investment portfolio beat both the stock market and the classic 60/40 asset mix ...

Quantum geometry describes quantum states in systems with changing system parameters, such as an electron spinning in a magnetic field whose direction is slowly changing. The state of the electron ...

A new UVM study challenges a widely accepted theory: that the meaning of words is organized around expressing emotion.

Termite mounds are remarkable structures that regulate temperature, balance airflow, and maintain structural stability in ...

The collaboration aims to help redefine the future of finance by combining agentic AI with human supervision, enabling ...

Attenborough has influenced everything from conservation and documentary production to the communication of the biggest story ...

If you find yourself in one complicated relationship after another, the following two patterns might be running your love ...

When this is done well, biomarkers accelerate decision-making, reduce uncertainty, and ultimately bring improved therapies to patients faster. When this is done poorly, however, biomarkers can add ...